This project examines how much of a stock’s return variability can be statistically attributed to different market and macroeconomic factors. Using daily data over a five-year period retrieved via Yahoo Finance (yfinance), the study models stock returns as a function of explanatory variables such as market indices and commodity prices. The analysis focuses on partitioning total variance into orthogonal components to determine the proportion of variance each factor contributes to the stock’s overall volatility.